Added an alert regarding data mismatch for 'One-way ANOVA (and nonparametric or mixed)' analysis if data sets were excluded resulting in fewer than three data sets in the analysis.
Implemented Multiple logistic regression from Multiple variables data tables. Implemented Simple logistic regression from XY data tables. Do you have other ideas for new features? Suggestions for improvements to existing features? Email us at let us know! Complete Release Notes for Prism 8.3.0 New Features Your feedback and suggestions made logistic regression in Prism a reality. Check out this walkthrough for performing multiple logistic regression in Prism. Frequently applied to clinical studies when multiple different variables are recorded for each patient in the study. Provides even more analysis options and detailed results. Allows you to incorporate more than one independent (X) variable or predictor. Check out this walkthrough for performing simple logistic regression in Prism. Common in toxicity studies when investigating the effect of new drug/formulation concentrations. Rapidly generate a logistic curve and obtain the most important results from your analysis. Useful when you only have one independent (X) variable. 
In fact, Prism 8.3.0 actually introduces two separate - but very similar - analyses: Simple Logistic Regression In these situations, the right analysis for the job is often logistic regression, and with the release of Prism 8.3.0, we're very excited to announce that this analysis is now available to you. In many experiments, your measurement of interest can only take on one of two possible outcomes: yes or no, 1 or 0, "event occurred" or "event didn't occur". One of the most top-requested features has continuously been the ability to perform logistic regression with Prism. You've been asking for it, and we've delivered: Simple Logistic Regression and Multiple Logistic Regression are now available in Prism 8.3.0! A quick overview Prism 8.3.0 was released on October 28, 2019.
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